Comparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan

<p>Abstract</p> <p>Background</p> <p>Medication claims are commonly used to calculate the risk adjustment for measuring healthcare cost. The Rx-defined Morbidity Groups (Rx-MG) which combine the use of medication to indicate morbidity have been incorporated into the Adjusted Clinical Groups (ACG) Case Mix System, developed by the Johns Hopkins University. This study aims to verify that the Rx-MG can be used for adjusting risk and for explaining the variations in the healthcare cost in Taiwan.</p> <p>Methods</p> <p>The Longitudinal Health Insurance Database 2005 (LHID2005) was used in this study. The year 2006 was chosen as the baseline to predict healthcare cost (medication and total cost) in 2007. The final sample size amounted to 793 239 (81%) enrolees, and excluded any cases with discontinued enrolment. Two different kinds of models were built to predict cost: the concurrent model and the prospective model. The predictors used in the predictive models included age, gender, Aggregated Diagnosis Groups (ADG, diagnosis- defined morbidity groups), and Rx-defined Morbidity Groups. Multivariate OLS regression was used in the cost prediction modelling.</p> <p>Results</p> <p>The concurrent model adjusted for Rx-defined Morbidity Groups for total cost, and controlled for age and gender had a better predictive R-square = 0.618, compared to the model adjusted for ADGs (R²= 0.411). The model combined with Rx-MGs and ADGs performed the best for concurrently predicting total cost (R²= 0.650). For prospectively predicting total cost, the model combined Rx-MGs and ADGs (R²= 0.382) performed better than the models adjusted by Rx-MGs (R²= 0.360) or ADGs (R²= 0.252) only. Similarly, the concurrent model adjusted for Rx-MGs predicting pharmacy cost had a better performance (R-square = 0.615), than the model adjusted for ADGs (R²= 0.431). The model combined with Rx-MGs and ADGs performed the best in concurrently as well as prospectively predicting pharmacy cost (R²= 0.638 and 0.505, respectively). The prospective models showed a remarkable improvement when adjusted by prior cost.</p> <p>Conclusions</p> <p>The medication-based Rx-Defined Morbidity Groups was useful in predicting pharmacy cost as well as total cost in Taiwan. Combining the information on medication and diagnosis as adjusters could arguably be the best method for explaining variations in healthcare cost.</p

Diagnosis of depression by primary care physicians versus a structured diagnostic interview - Understanding discordance

In this paper, false-negative and false-positive cases of depressive illness are examined, differentiating levels of disagreement between a primary care physician's diagnosis and a standardized research diagnosis. Two stratified random samples of primary cave patients in Seattle, USA (N = 373) and Groningen, The Netherlands (N = 340) were examined with the Composite International Diagnostic Interview-Primary Health Care Version (CIDI-PHC). Physician's severity ratings and diagnosis of psychological disorder were obtained. Three levels of disagreement between physician and CIDI diagnosis were distinguished: 1) complete disagreement about the presence of psychiatric symptoms (true false-negative and true false-positive patients); 2) disagreement over severity of recognized psychological illness (underestimated or overestimated); and 3) disagreement over the specific psychiatric diagnosis among those given a diagnosis (misdiagnosed or given another CIDI diagnosis). All three levels of disagreement were common. Only 27% of the false-negative cases were due to complete disagreement (true false-negatives), and 55% of the false positives were due to complete disagreement (true false-positives). The true false-negative patients were younger, more often employed, rated their own health more favorably, visited their doctor for a somatic complaint and made fewer visits than the underestimated, misdiagnosed, and concordant positive patients. Complete disagreement in depressive diagnoses between the primary care physician and research interview is not as frequent as indicated by an undifferentiated false-negative/false-positive false-positive analysis. Differentiating levels of disagreement does move justice to diagnostic practice in primary care and provides guidance on how to improve the diagnostic accuracy of primary cave physicians. (C) 1999 Elsevier Science Inc

GRADING THE SEVERITY OF CHRONIC PAIN

This research develops and evaluates a simple method of grading the severity of chronic pain for use in general population surveys and studies of primary care pain patients. Measures of pain intensity, disability, persistence and recency of onset were tested for their ability to grade chronic pain severity in a longitudinal study of primary care back pain (n = 1213), headache (n = 779) and temporomandibular disorder pain (n = 397) patients. A Guttman scale analysis showed that pain intensity and disability measures formed a reliable hierarchical scale. Pain intensity measures appeared to scale the lower range of global severity while disability measures appeared to scale the upper range of global severity. Recency of onset and days in pain in the prior 6 months did not scale with pain intensity or disability. Using simple scoring rules, pain severity was graded into 4 hierarchical classes: Grade I, low disability-low intensity; Grade II, low disability-high intensity; Grade III, high disability-moderately limiting; and Grade IV, high disability-severely limiting. For each pain site, Chronic Pain Grade measured at baseline showed a highly statistically significant and monotonically increasing relationship with unemployment rate, pain-related functional limitations, depression, fair to poor self-rated health, frequent use of opioid analgesics, and frequent pain-related doctor visits both at baseline and at 1-year follow-up. Days in Pain was related to these variables, but not as strongly as Chronic Pain Grade. Recent onset cases (first onset within the prior 3 months) did not show differences in psychological and behavioral dysfunction when compared to persons with less recent onset. Using longitudinal data from a population-based study (n = 803), Chronic Pain Grade at baseline predicted the presence of pain in the prior 2 weeks, Chronic Pain Grade and pain-related functional limitations at 3-year follow-up. Grading chronic pain as a function of pain intensity and pain-related disability may be useful when a brief ordinal measure of global pain severity is required. Pain persistence, measured by days in pain in a fixed time period, provides useful additional information

DISABILITY AND DEPRESSION AMONG HIGH UTILIZERS OF HEALTH-CARE - A LONGITUDINAL ANALYSIS

We evaluated, among depressed medical patients who are high utilizers of health care, whether improved vs unimproved depression is associated with differences in the course of functional disability. At baseline, 6 months, and 12 months, depression and disability were assessed among a sample of enrollees in health maintenance organizations (N = 145) in the top decile of users of ambulatory health care who exceeded the 70th percentile of health maintenance organization population norms for depression. Improved depression was defined as a reduction of at least one third in depressive symptoms averaged across the two follow-up times. At the 12-month follow-up, persons with severe-improved depression experienced a 36% reduction in disability days (79 days per year to 51 days per year) and a 45% reduction in disability score. Persons with moderate-improved depression experienced a 72% reduction in disability days (62 days per year to 18 days per year) and a 40% reduction in disability score. In contrast, persons with severe-unimproved depression reported 134 disability days per year at baseline, while persons with moderate-unimproved depression reported 77 disability days per year at baseline. Neither group with unimproved depression showed improvement in either disability days or disability score during the 1-year follow-up period. High utilizers of health care with severe-unimproved depression were more likely to have current major depression and to be unemployed. Improved (relative to unimproved) depression was associated with borderline differences in the severity of physical disease and in the percent married. We conclude that depression and disability showed synchrony in change over time. However, depression and disability may show synchrony in change with disability because both depression and disability are controlled by some other factor that influences the chronicity of depression (eg, chronic disease or personality disorder). The finding of synchronous change of depression and disability provides a rationale for randomized controlled trials of depression treatments among depressed and disabled medical patients to determine whether psychiatric intervention might improve functional status in such patients. Such research is needed to determine whether there is a causal relationship between depression offset and reductions in functional disability

Quality of life and social production functions: a framework for understanding health effects

Abstra¢~Quality of life (QofL) has emerged as a new outcome paradigm. It is now the endpoint in various taxonomies of patient outcomes, in which relationships are modeled amongst biological abnormalities, symptom status, functional status, disability, health perceptions and quality of life. Although current models and taxonomies point at important determinants of QofL, they do not provide a heuristic that guides the conceptualization of QofL and the systematic development of an explanatory theory of how ill health affects QofL. General mechanisms linking ill health, behavior, and QofL are lacking. In this paper we propose social production function (SPF) theory as providing such a heuristic, relating the effects of ill health, the activities that patients engage in to maintain QofL, and QofL itself. This theory basically asserts that people produce their own well-being by trying to optimize achievement of universal human goals via six instrumental goals within the environmental and functional limitations they are facing. Three important notions of SPF theory are: (I) the linkages between goals, needs, and well-being; (2) the distinction between universal needs and instrumental goals; and (3) substitution among instrumental goals, activities and endowments according to cost benefit considerations, whereby costs refer to scarce resources such as functional capacity, time, effort and money. We will argue that SPF theory meaningfully relates the &quot;biomedical model&quot;--with its focus on pathologica